Preprocessing of Time Series Data for Photovoltaic Energy Forecasting: A Case Study of Two Operational PV Plants

This work presents a robust preprocessing pipeline for photovoltaic (PV) time series forecasting aimed at improving the quality, consistency, and physical coherence of the input data used in predictive models. The proposed methodology integrates temporal lag correction, Fourier-based temporal enrich...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Richard David Martín Martín, Javier López-Solano, Silvia Alonso-Pérez, Benjamín González-Díaz, Carlos González Montesdeoca, Jorge Ballesteros Ruiz-Benítez de Lugo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Applied Sciences
Assuntos:	time series preprocessing photovoltaic energy data quality outlier detection seasonal decomposition energy forecasting
Acesso em linha:	https://www.mdpi.com/2076-3417/16/12/6088
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!